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See:
Description
Class Summary | |
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AbstractClusterer | An abstract base class for clustering algorithms. |
ClusterElement | A single element in a results cluster. |
ClustererFactory | A factory for results clusterers. |
ClusterStatisticsImpl | An implementation of the cluster statistics interface. |
ClusterUtil | A set of utility methods for clustering operations. |
FieldClusterer | A clusterer that produces clusters based on the values of a given field. |
HAC | A hierarchical agglomerative clusterer. |
KMeans | A K means clustering algorithm for search results. |
MST | A minimum spanning tree cluterer. |
ResultsClusterImpl |
Provides document clustering functionality.
This package contains the classes for performing results clustering. Not to be confused with feature clustering, results clustering will take a set of documents that are the results of a query and attempt to group them into N conceptually different groups. This form of clustering may be used on any result set.
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